Lung cancer is one of the deadliest diseases in India, often diagnosed at a late stage when the chances of survival drop drastically. For early-stage lung cancer (stage 1), the five-year survival rate is around 80-90%. However, this plummets to just 10% by stage 4. A significant reason for this high mortality rate is the delayed diagnosis. Many patients only discover they have lung cancer when it has already spread, limiting their treatment options and reducing their chances of recovery.
Artificial Intelligence (AI) offers a promising solution to this challenge which can detect lung nodules, which are early indicators of lung cancer, incidentally on radiological images. Early detection can lead to timely diagnosis and potentially shift cancer cases to earlier stages, improving outcomes. Moreover, AI can do this at scale and at a minimal cost, making these benefits accessible to a larger patient population globally.
At #qure.ai we are dedicated to transforming healthcare with AI. Our efforts have reached over 2,700 healthcare facilities in more than 90 countries. Specifically, for lung cancer, we have screened over 2.7 million patients in over 30 countries and approximately 400 health centers, making a significant impact worldwide. Our product, QXR, is an AI-powered radiodiagnosis software that uses X-ray imaging for the early detection of diseases like lung cancer, tuberculosis, and stroke. This software is being utilized in over 90 countries to detect conditions such as tuberculosis, lung nodules, and lung cancer, reducing turnaround time by 40% with normal-abnormal triage. We are extremely proud to be making a difference in the fight against lung cancer and other critical diseases.
We’re on a quest to fight #LungCancer. Working with global #healthcare institutions, clinical luminaries, innovators and academics to power the development and evidence generation of #AI-powered solutions. To save lives. Together.
On this World Lung Cancer Day #WLCD2024, we salute the #collaborative progress being made to #detect #cancer early and express our commitment to ‘casting the net’ wider in lung health surveillance.
We will continue to keep the patient at the heart of all our #medicalimaging #AI solutions - to identify lung nodules early; to measure / track volumetric growth as part of progression monitoring; to help manage cases; and to monitor drug efficacy or disease progression in clinical trials and cancer care.
#AIForGood #AIForCancer #EarlyDectection #Oncology #Pulmonology #PharmaAI #MedicalDevices #WorldLungCancerDay #CloseTheCareGap